Hybrid Mask Generation for Infrared Small Target Detection with Single-Point Supervision Article Swipe

PDF

Weijie He , Mushui Liu , Yunlong Yu , Zhe‐Ming Lu , Xi Li ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2409.04011

Single-frame infrared small target (SIRST) detection poses a significant challenge due to the requirement to discern minute targets amidst complex infrared background clutter. In this paper, we focus on a weakly-supervised paradigm to obtain high-quality pseudo masks from the point-level annotation by integrating a novel learning-free method with the hybrid of the learning-based method. The learning-free method adheres to a sequential process, progressing from a point annotation to the bounding box that encompasses the target, and subsequently to detailed pseudo masks, while the hybrid is achieved through filtering out false alarms and retrieving missed detections in the network's prediction to provide a reliable supplement for learning-free masks. The experimental results show that our learning-free method generates pseudo masks with an average Intersection over Union (IoU) that is 4.3% higher than the second-best learning-free competitor across three datasets, while the hybrid learning-based method further enhances the quality of pseudo masks, achieving an additional average IoU increase of 3.4%.

Related Topics

Concepts

Infrared Point (geometry) Computer science Optics Physics Mathematics Geometry

Metadata

Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2409.04011
PDF: https://arxiv.org/pdf/2409.04011
OA Status: green
Related Works: 10
OpenAlex ID: https://openalex.org/W4403586114

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4403586114

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.48550/arxiv.2409.04011

Digital Object Identifier
Title: Hybrid Mask Generation for Infrared Small Target Detection with Single-Point Supervision

Work title
Type: preprint

OpenAlex work type
Language: en

Primary language
Publication year: 2024

Year of publication
Publication date: 2024-09-06

Full publication date if available
Authors: Weijie He, Mushui Liu, Yunlong Yu, Zhe‐Ming Lu, Xi Li

List of authors in order
Landing page: https://arxiv.org/abs/2409.04011

Publisher landing page
PDF URL: https://arxiv.org/pdf/2409.04011

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: green

Open access status per OpenAlex
OA URL: https://arxiv.org/pdf/2409.04011

Direct OA link when available
Concepts: Infrared, Point (geometry), Computer science, Optics, Physics, Mathematics, Geometry

Top concepts (fields/topics) attached by OpenAlex
Cited by: 0

Total citation count in OpenAlex
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4403586114
doi	https://doi.org/10.48550/arxiv.2409.04011
ids.doi	https://doi.org/10.48550/arxiv.2409.04011
ids.openalex	https://openalex.org/W4403586114
fwci
type	preprint
title	Hybrid Mask Generation for Infrared Small Target Detection with Single-Point Supervision
biblio.issue
biblio.volume
biblio.last_page
biblio.first_page
topics[0].id	https://openalex.org/T14158
topics[0].field.id	https://openalex.org/fields/22
topics[0].field.display_name	Engineering
topics[0].score	0.9968000054359436
topics[0].domain.id	https://openalex.org/domains/3
topics[0].domain.display_name	Physical Sciences
topics[0].subfield.id	https://openalex.org/subfields/2208
topics[0].subfield.display_name	Electrical and Electronic Engineering
topics[0].display_name	Optical Systems and Laser Technology
topics[1].id	https://openalex.org/T12389
topics[1].field.id	https://openalex.org/fields/22
topics[1].field.display_name	Engineering
topics[1].score	0.9947999715805054
topics[1].domain.id	https://openalex.org/domains/3
topics[1].domain.display_name	Physical Sciences
topics[1].subfield.id	https://openalex.org/subfields/2202
topics[1].subfield.display_name	Aerospace Engineering
topics[1].display_name	Infrared Target Detection Methodologies
topics[2].id	https://openalex.org/T11637
topics[2].field.id	https://openalex.org/fields/22
topics[2].field.display_name	Engineering
topics[2].score	0.9884999990463257
topics[2].domain.id	https://openalex.org/domains/3
topics[2].domain.display_name	Physical Sciences
topics[2].subfield.id	https://openalex.org/subfields/2208
topics[2].subfield.display_name	Electrical and Electronic Engineering
topics[2].display_name	Advanced Semiconductor Detectors and Materials
is_xpac	False
apc_list
apc_paid
concepts[0].id	https://openalex.org/C158355884
concepts[0].level	2
concepts[0].score	0.6680938005447388
concepts[0].wikidata	https://www.wikidata.org/wiki/Q11388
concepts[0].display_name	Infrared
concepts[1].id	https://openalex.org/C28719098
concepts[1].level	2
concepts[1].score	0.6097102761268616
concepts[1].wikidata	https://www.wikidata.org/wiki/Q44946
concepts[1].display_name	Point (geometry)
concepts[2].id	https://openalex.org/C41008148
concepts[2].level	0
concepts[2].score	0.32081276178359985
concepts[2].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[2].display_name	Computer science
concepts[3].id	https://openalex.org/C120665830
concepts[3].level	1
concepts[3].score	0.30563884973526
concepts[3].wikidata	https://www.wikidata.org/wiki/Q14620
concepts[3].display_name	Optics
concepts[4].id	https://openalex.org/C121332964
concepts[4].level	0
concepts[4].score	0.15053260326385498
concepts[4].wikidata	https://www.wikidata.org/wiki/Q413
concepts[4].display_name	Physics
concepts[5].id	https://openalex.org/C33923547
concepts[5].level	0
concepts[5].score	0.0970546305179596
concepts[5].wikidata	https://www.wikidata.org/wiki/Q395
concepts[5].display_name	Mathematics
concepts[6].id	https://openalex.org/C2524010
concepts[6].level	1
concepts[6].score	0.0
concepts[6].wikidata	https://www.wikidata.org/wiki/Q8087
concepts[6].display_name	Geometry
keywords[0].id	https://openalex.org/keywords/infrared
keywords[0].score	0.6680938005447388
keywords[0].display_name	Infrared
keywords[1].id	https://openalex.org/keywords/point
keywords[1].score	0.6097102761268616
keywords[1].display_name	Point (geometry)
keywords[2].id	https://openalex.org/keywords/computer-science
keywords[2].score	0.32081276178359985
keywords[2].display_name	Computer science
keywords[3].id	https://openalex.org/keywords/optics
keywords[3].score	0.30563884973526
keywords[3].display_name	Optics
keywords[4].id	https://openalex.org/keywords/physics
keywords[4].score	0.15053260326385498
keywords[4].display_name	Physics
keywords[5].id	https://openalex.org/keywords/mathematics
keywords[5].score	0.0970546305179596
keywords[5].display_name	Mathematics
language	en
locations[0].id	pmh:oai:arXiv.org:2409.04011
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S4306400194
locations[0].source.issn
locations[0].source.type	repository
locations[0].source.is_oa	True
locations[0].source.issn_l
locations[0].source.is_core	False
locations[0].source.is_in_doaj	False
locations[0].source.display_name	arXiv (Cornell University)
locations[0].source.host_organization	https://openalex.org/I205783295
locations[0].source.host_organization_name	Cornell University
locations[0].source.host_organization_lineage	https://openalex.org/I205783295
locations[0].license
locations[0].pdf_url	https://arxiv.org/pdf/2409.04011
locations[0].version	submittedVersion
locations[0].raw_type	text
locations[0].license_id
locations[0].is_accepted	False
locations[0].is_published	False
locations[0].raw_source_name
locations[0].landing_page_url	http://arxiv.org/abs/2409.04011
locations[1].id	doi:10.48550/arxiv.2409.04011
locations[1].is_oa	True
locations[1].source.id	https://openalex.org/S4306400194
locations[1].source.issn
locations[1].source.type	repository
locations[1].source.is_oa	True
locations[1].source.issn_l
locations[1].source.is_core	False
locations[1].source.is_in_doaj	False
locations[1].source.display_name	arXiv (Cornell University)
locations[1].source.host_organization	https://openalex.org/I205783295
locations[1].source.host_organization_name	Cornell University
locations[1].source.host_organization_lineage	https://openalex.org/I205783295
locations[1].license
locations[1].pdf_url
locations[1].version
locations[1].raw_type	article
locations[1].license_id
locations[1].is_accepted	False
locations[1].is_published
locations[1].raw_source_name
locations[1].landing_page_url	https://doi.org/10.48550/arxiv.2409.04011
indexed_in	arxiv, datacite
authorships[0].author.id	https://openalex.org/A5102589238
authorships[0].author.orcid
authorships[0].author.display_name	Weijie He
authorships[0].author_position	first
authorships[0].raw_author_name	He, Weijie
authorships[0].is_corresponding	False
authorships[1].author.id	https://openalex.org/A5039853684
authorships[1].author.orcid	https://orcid.org/0000-0002-2909-7702
authorships[1].author.display_name	Mushui Liu
authorships[1].author_position	middle
authorships[1].raw_author_name	Liu, Mushui
authorships[1].is_corresponding	False
authorships[2].author.id	https://openalex.org/A5100722511
authorships[2].author.orcid	https://orcid.org/0000-0002-0294-2099
authorships[2].author.display_name	Yunlong Yu
authorships[2].author_position	middle
authorships[2].raw_author_name	Yu, Yunlong
authorships[2].is_corresponding	False
authorships[3].author.id	https://openalex.org/A5083531923
authorships[3].author.orcid	https://orcid.org/0000-0003-1785-7847
authorships[3].author.display_name	Zhe‐Ming Lu
authorships[3].author_position	middle
authorships[3].raw_author_name	Lu, Zheming
authorships[3].is_corresponding	False
authorships[4].author.id	https://openalex.org/A5100407758
authorships[4].author.orcid	https://orcid.org/0000-0003-3023-1662
authorships[4].author.display_name	Xi Li
authorships[4].author_position	last
authorships[4].raw_author_name	Li, Xi
authorships[4].is_corresponding	False
has_content.pdf	True
has_content.grobid_xml	True
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://arxiv.org/pdf/2409.04011
open_access.oa_status	green
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Hybrid Mask Generation for Infrared Small Target Detection with Single-Point Supervision
has_fulltext	False
is_retracted	False
updated_date	2025-11-06T06:51:31.235846
primary_topic.id	https://openalex.org/T14158
primary_topic.field.id	https://openalex.org/fields/22
primary_topic.field.display_name	Engineering
primary_topic.score	0.9968000054359436
primary_topic.domain.id	https://openalex.org/domains/3
primary_topic.domain.display_name	Physical Sciences
primary_topic.subfield.id	https://openalex.org/subfields/2208
primary_topic.subfield.display_name	Electrical and Electronic Engineering
primary_topic.display_name	Optical Systems and Laser Technology
related_works	https://openalex.org/W4391375266, https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W2390279801, https://openalex.org/W4391913857, https://openalex.org/W2358668433, https://openalex.org/W4396701345, https://openalex.org/W2376932109, https://openalex.org/W2001405890, https://openalex.org/W4396696052
cited_by_count	0
locations_count	2
best_oa_location.id	pmh:oai:arXiv.org:2409.04011
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S4306400194
best_oa_location.source.issn
best_oa_location.source.type	repository
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l
best_oa_location.source.is_core	False
best_oa_location.source.is_in_doaj	False
best_oa_location.source.display_name	arXiv (Cornell University)
best_oa_location.source.host_organization	https://openalex.org/I205783295
best_oa_location.source.host_organization_name	Cornell University
best_oa_location.source.host_organization_lineage	https://openalex.org/I205783295
best_oa_location.license
best_oa_location.pdf_url	https://arxiv.org/pdf/2409.04011
best_oa_location.version	submittedVersion
best_oa_location.raw_type	text
best_oa_location.license_id
best_oa_location.is_accepted	False
best_oa_location.is_published	False
best_oa_location.raw_source_name
best_oa_location.landing_page_url	http://arxiv.org/abs/2409.04011
primary_location.id	pmh:oai:arXiv.org:2409.04011
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S4306400194
primary_location.source.issn
primary_location.source.type	repository
primary_location.source.is_oa	True
primary_location.source.issn_l
primary_location.source.is_core	False
primary_location.source.is_in_doaj	False
primary_location.source.display_name	arXiv (Cornell University)
primary_location.source.host_organization	https://openalex.org/I205783295
primary_location.source.host_organization_name	Cornell University
primary_location.source.host_organization_lineage	https://openalex.org/I205783295
primary_location.license
primary_location.pdf_url	https://arxiv.org/pdf/2409.04011
primary_location.version	submittedVersion
primary_location.raw_type	text
primary_location.license_id
primary_location.is_accepted	False
primary_location.is_published	False
primary_location.raw_source_name
primary_location.landing_page_url	http://arxiv.org/abs/2409.04011
publication_date	2024-09-06
publication_year	2024
referenced_works_count	0
abstract_inverted_index.a	7, 29, 43, 59, 64, 101
abstract_inverted_index.In	23
abstract_inverted_index.an	119, 150
abstract_inverted_index.by	41
abstract_inverted_index.in	95
abstract_inverted_index.is	84, 126
abstract_inverted_index.of	50, 146, 155
abstract_inverted_index.on	28
abstract_inverted_index.to	11, 14, 32, 58, 67, 77, 99
abstract_inverted_index.we	26
abstract_inverted_index.IoU	153
abstract_inverted_index.The	54, 107
abstract_inverted_index.and	75, 91
abstract_inverted_index.box	70
abstract_inverted_index.due	10
abstract_inverted_index.for	104
abstract_inverted_index.our	112
abstract_inverted_index.out	88
abstract_inverted_index.the	12, 38, 48, 51, 68, 73, 82, 96, 130, 138, 144
abstract_inverted_index.4.3%	127
abstract_inverted_index.from	37, 63
abstract_inverted_index.over	122
abstract_inverted_index.show	110
abstract_inverted_index.than	129
abstract_inverted_index.that	71, 111, 125
abstract_inverted_index.this	24
abstract_inverted_index.with	47, 118
abstract_inverted_index.(IoU)	124
abstract_inverted_index.3.4%.	156
abstract_inverted_index.Union	123
abstract_inverted_index.false	89
abstract_inverted_index.focus	27
abstract_inverted_index.masks	36, 117
abstract_inverted_index.novel	44
abstract_inverted_index.point	65
abstract_inverted_index.poses	6
abstract_inverted_index.small	2
abstract_inverted_index.three	135
abstract_inverted_index.while	81, 137
abstract_inverted_index.across	134
abstract_inverted_index.alarms	90
abstract_inverted_index.amidst	18
abstract_inverted_index.higher	128
abstract_inverted_index.hybrid	49, 83, 139
abstract_inverted_index.masks,	80, 148
abstract_inverted_index.masks.	106
abstract_inverted_index.method	46, 56, 114, 141
abstract_inverted_index.minute	16
abstract_inverted_index.missed	93
abstract_inverted_index.obtain	33
abstract_inverted_index.paper,	25
abstract_inverted_index.pseudo	35, 79, 116, 147
abstract_inverted_index.target	3
abstract_inverted_index.(SIRST)	4
abstract_inverted_index.adheres	57
abstract_inverted_index.average	120, 152
abstract_inverted_index.complex	19
abstract_inverted_index.discern	15
abstract_inverted_index.further	142
abstract_inverted_index.method.	53
abstract_inverted_index.provide	100
abstract_inverted_index.quality	145
abstract_inverted_index.results	109
abstract_inverted_index.target,	74
abstract_inverted_index.targets	17
abstract_inverted_index.through	86
abstract_inverted_index.achieved	85
abstract_inverted_index.bounding	69
abstract_inverted_index.clutter.	22
abstract_inverted_index.detailed	78
abstract_inverted_index.enhances	143
abstract_inverted_index.increase	154
abstract_inverted_index.infrared	1, 20
abstract_inverted_index.paradigm	31
abstract_inverted_index.process,	61
abstract_inverted_index.reliable	102
abstract_inverted_index.achieving	149
abstract_inverted_index.challenge	9
abstract_inverted_index.datasets,	136
abstract_inverted_index.detection	5
abstract_inverted_index.filtering	87
abstract_inverted_index.generates	115
abstract_inverted_index.network's	97
abstract_inverted_index.additional	151
abstract_inverted_index.annotation	40, 66
abstract_inverted_index.background	21
abstract_inverted_index.competitor	133
abstract_inverted_index.detections	94
abstract_inverted_index.prediction	98
abstract_inverted_index.retrieving	92
abstract_inverted_index.sequential	60
abstract_inverted_index.supplement	103
abstract_inverted_index.encompasses	72
abstract_inverted_index.integrating	42
abstract_inverted_index.point-level	39
abstract_inverted_index.progressing	62
abstract_inverted_index.requirement	13
abstract_inverted_index.second-best	131
abstract_inverted_index.significant	8
abstract_inverted_index.Intersection	121
abstract_inverted_index.Single-frame	0
abstract_inverted_index.experimental	108
abstract_inverted_index.high-quality	34
abstract_inverted_index.subsequently	76
abstract_inverted_index.learning-free	45, 55, 105, 113, 132
abstract_inverted_index.learning-based	52, 140
abstract_inverted_index.weakly-supervised	30
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	5
citation_normalized_percentile